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from pathlib import Path from tkinter import Frame, Canvas, Entry, Text, Button, PhotoImage, messagebox import controller as db_controller OUTPUT_PATH = Path(__file__).parent ASSETS_PATH = OUTPUT_PATH / Path("./assets") def relative_to_assets(path: str) -> Path: return ASSETS_PATH / Path(path) def add_reserva...
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<gh_stars>0 # -*- coding: utf-8 -*- from flask import Flask, current_app, request, jsonify import io import base64 import logging import numpy as np import cv2 from service import model def create_app(config, debug=False, testing=False, config_overrides=None): app = Flask(__name__) app.config.from_object(conf...
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import sys import os import time import importlib if sys.version_info < (3,0): import cPickle as pickle else: import pickle import numpy as np import argparse import pdb import json parser = argparse.ArgumentParser() parser.add_argument('metadata_path') parser.add_argument('--rng_seed', type=int, default=42) p...
StarcoderdataPython
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<gh_stars>0 #!/usr/bin/python3 import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BOARD) # Connect to pin 7 not GPIO 7 GPIO.setup(7, GPIO.OUT) p = GPIO.PWM(7, 50) p.start(7.5) try: while True: print("Full Range Movement") print("Move to Neutral") p.ChangeDutyCycle(7.5) time.sl...
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<gh_stars>0 from __future__ import absolute_import, print_function, division from sklearn.datasets import load_digits import matplotlib.pyplot as plt from time import time import numpy as np from numpy import linalg as LA from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler # Step 1: ...
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<reponame>Noahs-ARK/idea_relations<filename>fighting_lexicon.py # -*- coding: utf-8 -*- import os import json import math import collections import functools import numpy as np import word_count as wc import utils def get_uniform_alpha(first, second, count=1.0): word_set = set(first.keys()) | set(second.keys()) ...
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<filename>C++/python_test/test_score_pssm.py # # Copyright <NAME> 2010 # import _biopsy as B B.init() seq = "ACGCGAGCAGCATCATTATATCGAGCGACGCGGCGCGCGACAAGGACGGCATTATTAGCGAGCTACGACTACGACTTG" pssms = B.SequenceVec() hits = B.HitVec() p_binds = B.score_pssm_on_sequence('M00023', seq, .03, hits)
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<reponame>shangz-ai/transformers<filename>tests/utils/test_cli.py # coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # h...
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pkgname = "cldr-common" url = "https://github.com/unicode-org/cldr/releases"
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<gh_stars>0 from objects.axial_component import AxialComponent from objects.cross_section import CrossSection from objects.shape import Shape from objects.deformations import ( deform_ac, plane, concave_ellipsoid, concave_cylinder_vert, concave_cylinder_diag_down, concave_cylinder_diag_up, c...
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<filename>experiments/convolution_test.py #!/usr/bin/env python3 # Copyright 2016 <NAME> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #...
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import os from glob import glob import argparse from batchlib.reporting.write_cell_size_masks import WriteCellSizeMasks def write_mask(folder, n_jobs): table_name = 'cell_segmentation/marker' seg_key = 'cell_segmentation' scale_factors = [1, 2, 4, 8, 16] job = WriteCellSizeMasks(table_name=table_name,...
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# import logging # import unittest # import os # import boto3 # # from unittest.mock import patch, MagicMock # # from sosw.components.tasks_api_client_for_workers import * # # # logger = logging.getLogger() # # os.environ["STAGE"] = "test" # os.environ["autotest"] = "True" # # TASK_ID = 'test_task_id' # LABOURER_ID = '...
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""" Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: MIT-0 """ import logging from test.testlib.testcase import BaseTestCase import jsonschema from mock import patch import cfnlint.config # pylint: disable=E0401 try: # pragma: no cover from pathlib import Path except Imp...
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#!/usr/bin/python3 """Alta3 Research | RZFeeser Review of Lists and Dictionaries""" # define a short data set (in real world, we want to read this from a file or API) munsters = {'endDate': 1966, 'startDate': 1964,\ 'names':['Lily', 'Herman', 'Grandpa', 'Eddie', 'Marilyn']} # {} creates dict # Your solut...
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<reponame>RisalatShahriar/ccNews # Generated by Django 3.2.6 on 2021-08-23 02:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('registration', '0005_alter_data_picture'), ] operations = [ migrations.RemoveField( model_name=...
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import numpy as np import matplotlib.pylab as plt import cv2 from numpy.lib.npyio import save from skimage.metrics import structural_similarity as ssim from skimage.metrics import peak_signal_noise_ratio as psnr import os from os.path import join as opj from os.path import exists as ope from os.path import dirname as o...
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<filename>code_video/main.py import random import os import cv2 import numpy as np import argparse import sys sys.path.append('..') from model_processor import ModelProcessor from atlas_utils.camera import Camera from atlas_utils import presenteragent from atlas_utils.acl_image import AclImage import acl from acl_resou...
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<reponame>tyler-ham/core<filename>src/opnsense/scripts/systemhealth/queryLog.py #!/usr/local/bin/python3 """ Copyright (c) 2019 <NAME> <<EMAIL>> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions ar...
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<reponame>RahulSajnani/DRACO-Weakly-Supervised-Dense-Reconstruction-And-Canonicalization-of-Objects import numpy as np import cv2 import open3d as o3d import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import torch from PIL import Image import json from mpl_toolkits.mplot3d import Axes3D as mpl_3D ...
StarcoderdataPython
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# -*- coding: utf-8 -*- # Generated by Django 1.11.2 on 2018-11-14 00:31 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('workflow', '0016_auto_20170623_1306'), ] operations = [ migrations.AddField...
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from crowd_sim.envs.utils.agent import Agent from crowd_sim.envs.utils.state import JointState, JointState_noV class Robot(Agent): def __init__(self, config,section): super().__init__(config,section) def act(self, ob): if self.policy is None: raise AttributeError('Policy attribute...
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from dataclasses import dataclass, field from enum import Enum from typing import Optional from xsdata.models.datatype import XmlPeriod __NAMESPACE__ = "NISTSchema-SV-IV-atomic-gDay-enumeration-3-NS" class NistschemaSvIvAtomicGDayEnumeration3Type(Enum): VALUE_15 = XmlPeriod("---15") VALUE_27 = XmlPeriod("---...
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<gh_stars>0 import numpy as np import cv2 import os import shutil # Setting original_data_folder = r'F:\Dataset\KITTI 2015\training' destination_folder = r'F:\Dataset\KITTI 2015 Data Augmentation' copy_size = 200 # blur_kernels = [3] # scale_ratios = [1.5] # gaussian_noises = [(0.05, 0, 0.05)] # ratio [0, 1], mean, s...
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<reponame>srsuper/Receipt_Number_History<filename>Checker.py import requests from bs4 import BeautifulSoup class Receipt_Numbers(object): def __init__(self, prize_dict=None): if not prize_dict: self._response = requests.request("GET", 'http://invoice.etax.nat.gov.tw/') self.soup = B...
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import sys from collections import OrderedDict, defaultdict import functools from .ahdl import * from .block import Block from .common import error_info from .env import env from .ir import * from .memref import * from logging import getLogger logger = getLogger(__name__) class State(AHDL_BLOCK): def __init__(se...
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<filename>hw2_source_final.py from urllib.request import urlopen from bs4 import BeautifulSoup import pandas as pd import re from bs4.element import NavigableString, Tag import datetime import urllib import requests import scipy.stats as stats import math import matplotlib.pyplot as plt # Function to scrape strings fr...
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<gh_stars>100-1000 from import_export import fields, resources from import_export.widgets import ManyToManyWidget from . models import Tutorial, Tag class TutorialResource(resources.ModelResource): tags = fields.Field( column_name='tags', attribute='tags', widget=ManyToManyWidget(Tag, ',',...
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<reponame>dagtann/learning<filename>python_da/p4da/ch10.py import numpy as np import pandas as pd # Data Aggregation and Group Operations ======================================= df = pd.DataFrame({"key1": ["a", "a", "b", "b", "a"], "key2": ["one", "two", "one", "two", "one"], "dat...
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<filename>botaclan/google/google_calendar.py<gh_stars>0 from botaclan.constants import GOOGLEAPI_CALENDAR_ID from google.oauth2 import service_account from googleapiclient.discovery import build, Resource from typing import List, Dict import botaclan.helpers.lists import copy import datetime import logging log = loggi...
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<reponame>zhenglab/EMOD import torch from torch import nn from mmcv.cnn.utils import constant_init, kaiming_init class SimAttention(nn.Module): def __init__(self, in_channels): super(SimAttention, self).__init__() self.conv_attn = nn.Conv2d(in_channels, 1, kernel_size=1) self.softm...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function, division import caffe import h5py import numpy as np from os.path import join def test_model(): caffe.set_mode_gpu() caffe.set_device(0) root_path = '../../../' ########### testing on SUNCG use uncommoent the follo...
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<gh_stars>0 from typing import TYPE_CHECKING from contextlib import ContextDecorator __all__ = ("Session",) if TYPE_CHECKING: from .models import MongoModel class Session(ContextDecorator): def __init__(self, model: 'MongoModel'): self._session = model._start_session() self.model = model ...
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import sqlalchemy from utility.globals import LOGGER from sqlalchemy.orm import sessionmaker def transaction_wrapper(func): def _wrap_func(*args, **kwargs): self = args[0] session = sessionmaker(bind=self.engine, expire_on_commit=False) # new session. no connections are in use. ...
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#!/usr/bin/env python3 import lib N=1000000 sieve = lib.get_prime_sieve(N) primes = lib.primes(N, sieve) primes = primes[4:] def is_truncatable(n): num = n c = 0 while num: if not sieve[num]: return False num = int(num / 10) c += 1 while c: num = n % 10**c if not sieve[num]: r...
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import textwrap from text_processing import tokenize_filter_punctuation, remove_words_from_query, extract_operators_from_query, remove_non_alpha_from_string booleanOperators = ['AND', 'OR', 'NOT', 'and', 'or', 'not'] def split_query_into_words_and_operators(query): tokens = tokenize_filter_punctuation(query) ...
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from settings.config import item_label def get_rr_from_list(relevance_array): relevance_list_size = len(relevance_array) if relevance_list_size == 0: return 0.0 for i in range(relevance_list_size): if relevance_array[i]: return 1 / (i + 1) return 0.0 def mrr(reco_items_df...
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# -*- coding: utf-8 -*- """ Definition of network architecture Defintion of convolutional layers Defintion of batch normalization """ import theano import theano.tensor as T import numpy as np class Network: """ prende in ingresso una lista di ConvLayer e l'immagine mettere l'immagine in i...
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<gh_stars>0 class Solution: def firstMissingPositive(self, nums: List[int]) -> int: nums.sort() if not nums or 1 not in nums: return 1 for i in range(1, len(nums)): if nums[i] != nums[i-1] + 1 and nums[i] != nums[i-1] and nums[i-1] > 0: ...
StarcoderdataPython
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<gh_stars>0 from app import app from flask import render_template,redirect,request,url_for from flask_login import LoginManager, login_user, current_user, logout_user, login_required from osp.classes.address import Address from osp.classes.user import Seller,User from datetime import datetime now = datetime.utcnow() a...
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'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.GL import _types as _cs # End users want this... from OpenGL.raw.GL._types import * from OpenGL.raw.GL import _errors from OpenGL.constant import Constant as _C import ctypes _...
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<reponame>LaurentColoma/TicketManager-server """ Admin interface manager. TODO. """ from django.contrib import admin from django.contrib.admin import ModelAdmin from .models import Application, Version, Module, Impact, Priority, TimeSensitiveness, Reproducibility, Ticket, \ TicketComment, Process, Proposal, Anoma...
StarcoderdataPython
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<filename>chaizhiyong/L2/IOAndClass.py<gh_stars>1-10 from roles import person,phoneOp print("欢迎您进入注册页面") name = input("请输入真实姓名:") isSuccess = False while isSuccess == False: phoneNumber = input("请输入电话号码:") phoneOpOne = phoneOp(phoneNumber); print(phoneOpOne) if phoneOpOne.checkPhoneNumber(phoneNumber):...
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<filename>app/services/engines/event_constants.py EXIT_ENGINE_EVENT = "exit_engine_event" # 退出引擎事件 LOG_EVENT = "log_event" # 推送日志 ORDER_CREATE_EVENT = "order_create_event" # 新建订单 ORDER_UPDATE_EVENT = "order_update_event" # 更新订单 ORDER_UPDATE_STATUS_EVENT = "order_update_status_event" # 更新订单状态 ORDER_UPDATE_FROZEN_...
StarcoderdataPython
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from app import create_app from flask_script import Manager,Shell,Server from app.models import User,Role from flask_migrate import Migrate, MigrateCommand # Creating app instance app = create_app('development') manager = Manager(app) migrate = Migrate(app,db) manager.add_command('db',MigrateCommand) @manager.command...
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<filename>code/optimize.py """ Minimize the function f(x) := - \exp \left\{-\frac{(x - 5.0)^4}{1.5} \right\} """ from scipy.optimize import fminbound import numpy as np def f(x): return -np.exp(-(x - 5.0)**4 / 1.5) print fminbound(f, -10, 10) # Find approx solution
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Feb 19 11:11:30 2019 @author: arlind """ import itertools from statsmodels.tsa.statespace.sarimax import SARIMAX from sklearn.model_selection import TimeSeriesSplit as tss from sklearn.metrics import mean_squared_error import numpy import ai_analysis.c...
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from .util import read_CSV #return rows, constraints def rank(args): rows, constraints = read_CSV(args) scored = [] for label, values in rows.items(): score = 1 for i, constraint in enumerate(constraints): if constraint[0] == 'max': score /= values[i] ...
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<filename>vesper/signal/tests/test_named_sequence.py from vesper.tests.test_case import TestCase from vesper.util.named import Named from vesper.signal.named_sequence import NamedSequence class _Item(Named): def __init__(self, name, value): super().__init__(name) self.value = value ...
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<reponame>aroo135/pgoapi # Generated by the protocol buffer compiler. DO NOT EDIT! # source: pogoprotos/networking/responses/platform_client_actions_response.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.pr...
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print('ANALISANDO DADOS') pessoas = dict() lista = list() media = soma = 0 print('-=' * 50) while True: pessoas.clear() pessoas['nome'] = str(input('Nome: ')) pessoas['sexo'] = str(input('Sexo [M/F]: ')).upper().strip()[0] while pessoas['sexo'] not in 'MF': print('Erro, digite apenas M ou F.') ...
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<reponame>Nedoko-maki/Internet-Voicechat import logging import queue import socket import threading import traceback import numpy import pyflac import select import sounddevice as sd import config logging.basicConfig( format='%(asctime)s.%(msecs)03d %(levelname)s:\t%(message)s', level=logging....
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from heuslertools.tools.measurement import Measurement import numpy as np def conv(file): i=0 for x in open(file): if i == 2: yield x.replace('#', 'Number').encode() else: yield x.replace(',', '.').encode() i+=1 def load_sims_data(file): data = np.genfromtx...
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<gh_stars>1-10 # -*- coding: utf-8 -*- # # Copyright 2017 Ricequant, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required...
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#Practical 36: Find hash of file import sys import hashlib # BUF_SIZE is totally arbitrary, change for your app! BUF_SIZE = 65536 md5 = hashlib.md5() sha1 = hashlib.sha1() with open(sys.argv[1], 'rb') as f: while True: data = f.read(BUF_SIZE) if not data: break md5.update(d...
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from typing import Optional from torch.nn import Module from tha2.nn.base.init_function import create_init_function from tha2.nn.base.module_factory import ModuleFactory from tha2.nn.base.nonlinearity_factory import resolve_nonlinearity_factory from tha2.nn.base.normalization import NormalizationLayerFactory ...
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# Aula 13 - Desafio 46: Contagem regressiva # Fazer uma uma contagem regressiva de 10 ate 0 com uma pausa de 1s entre os numeros import time for n in range(10, 0, -1): print(f'{n}... ', end='') time.sleep(1) print('\n\033[1;30mFELIZ ANO NOVO!!!\033[m', '\033[1m\o/ \o|\033[m'*2)
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import os import argparse import os.path as osp import glob import torch import torch.nn as nn from reid.utils.data.dataset import Dataset, MixedDataset from reid.utils.data import build_test_loader from reid.models.backbone import ResNet from reid.evaluation.evaluators import Evaluator, IncrementalEvaluator...
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import os def get_sha1_from_file(base_dir, relative_path): """ Try to read base_dir/relative_path. For git head, relative_path should be 'HEAD'. If it contains a sha1, return it. If it contains a ref, open base_dir/<ref> and return its contents. On error, return None """ try: head_...
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import torch import torch.nn.functional as F from pytorch_lightning import LightningModule from torchmetrics.functional import accuracy from .nnconfig import NNConfig class BaseModule(LightningModule): def __init__(self, data_provider, model, config): super().__init__() self.model = model ...
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<gh_stars>0 import os import numpy as np from scipy.misc import imread, imresize def load_image_labels(dataset_path=''): labels = {} with open(os.path.join(dataset_path, 'image_class_labels.txt')) as f: for line in f: pieces = line.strip().split() image_id = pieces[0] ...
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<reponame>woollysocks/Betelgeuse_SPINN import copy import numpy as np # PyTorch import torch import torch.nn as nn from torch.autograd import Variable import torch.nn.functional as F from spinn.util.blocks import MLP from spinn.util.blocks import the_gpu, to_gpu from spinn.spinn_core_model import BaseModel as _Base...
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<gh_stars>0 import db as db from flask import Flask, request from flask import jsonify import asyncio, requests import argparse parser = argparse.ArgumentParser(description='Optional app description') parser.add_argument('port', type=int, help='Port To Run The Server') args = parser.parse_args() port = args.port # db.i...
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<filename>sudoku.py #!/usr/bin/python # -*- coding: utf-8 -*- from tkinter import Tk, Label, Frame, Entry, Button, LEFT, RIGHT, END, messagebox from matrice import Matrice #from matrice import Matrice class Application(Tk): """Classe de l'application. Hérite de Tk pour instancier automatiquement une fenè...
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<reponame>faeit/scrapy-selenium<gh_stars>0 from twisted.internet import reactor, defer # from urllib.parse import urlunparse, urlparse, urlencode, urlsplit, parse_qsl def deferredsleep(seconds): """ :param seconds: :return: """ d = defer.Deferred() reactor.callLater(0.1, d.callback, seconds) ...
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import web3 import ethereum as eth import rlp, utils class Address: def __init__(self, address, transaction): self.address = address self.transaction = transaction @property def owner_address(self): return utils.add_0x_prefix(eth.utils.sha3( self.owner_public_...
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# coding:utf-8 __author__ = 'frkhit' import sys from demo import build_complex_model, build_model, LinearFit if __name__ == '__main__': command = "train" if len(sys.argv) < 2 else sys.argv[1] if command == "simple": # build model for PAI-EAS print("building simple model...") build_mod...
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<gh_stars>1-10 # -*- coding: utf-8-*- import logging import pkgutil, os from src.config.path import PLUGINS_PATH import jieba from src.components.chatbot import Chatbot from src.config import load_yaml_settings class Brain: """ 指挥第三方插件响应,还是正常对话,还是控制 """ def __init__(self, mic, profile, iot_client): ...
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<gh_stars>0 from numbers import Number def square(*, num: Number) -> Number: return num ** 2
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<reponame>firattamur/WarpGAN-PyTorch import torch import torch.nn as nn class CustomInstanceNorm2d(nn.Module): def __init__(self, num_features: int): """ Custom InstanceNorm layer for modules to multiple norm with gamma and sum with beta. :param num_features: C from an expected input o...
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""" Implements a Django model, with the API of the standard User, but contains just the 'username' field. This instance is persisted in the traditional database configured in your project. It acts as a proxy to the real user, stored in Cassadra. It's required because the way Django is designed, and it's the recommend...
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<gh_stars>1-10 # script to remove worms import numpy as np from scipy.ndimage.measurements import label from skimage.measure import regionprops_table import zarr import os from pathlib import Path from segmentation_pipeline import add_elongation import pandas as pd def get_labs_less_than(df, lab_col='label', cond_col...
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<reponame>tvandera/nomad import os import subprocess import sys datasets = [("yahoo", 1.00, 0.0005, 0.5, 300), ("netflix", 0.05, 0.008, 0.5, 300), ("hugewiki", 0.01, 0.008, 0.5, 200)] numprocs = [32] numcpus = [4] dim=100 exp_name=sys.argv[0][:sys.argv[0].rfind('.py')] #root@master:/yundata/nomad/Scripts/aws# /yun...
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import glob import os import json from tqdm.notebook import tqdm json_path = "/content/drive/My Drive/Projects/ThaiSum-Dataset/simple-json/test-set-our-sent-segmentation/BertSum" save_path = "/content/drive/My Drive/Projects/ThaiSum-Dataset/simple-json/test-set-our-sent-segmentation/ARedSum" json_files = glob.glob(os...
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def read_DOKAoutput_files(config): """ All filenames should follow the pattern: ID_num_run_trialnum_direction*.csv If they don't, use the R script nameFixer_v2.R in LizardTails first. The summary file for the current DOKA project will be stored in the summary_folder in analysis_results. :param confi...
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import os, csv, pandas import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go import pandas_datareader as pdr from datetime import datetime as dt # layout = html.Div([ # html.H1('Stick Tockers'), # dcc.Dropdown( # id='my-dropdown', # options=[ # ...
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import re import subprocess import requests import streamlink session = requests.Session() def get_oauth(g_oa_client_id, g_oa_client_secret): # This method gets the auth token params_get_oauth = { "client_id": g_oa_client_id, "client_secret": g_oa_client_secret, "grant_type": "client_cre...
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import setuptools # Long description with open('README.md', 'r') as fh: long_description = fh.read() # Requirements def get_requirements(): return [ 'selenium>=3.14', ] setuptools.setup( name="tweet-capture", version="0.0.10", author="<NAME>", author_email="<EMAIL>", descrip...
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<reponame>alvinwan/MarkdownPy from markdown import markdownFromFile, markdown from bs4 import BeautifulSoup class TreeOfContents: """Tree abstraction for markdown source""" source_type = BeautifulSoup valid_tags = ('a', 'abbr', 'address', 'area', 'article', 'aside', 'audio', 'b', 'base', 'bdi', '...
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<reponame>SU-ECE-17-7/ibeis # -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function #import utool #print, print_, printDBG, rrr, profile = utool.inject(__name__, '[hsexcept]', DEBUG=False) import utool as ut ut.noinject(__name__, '[hsecept]', DEBUG=False) class QueryException(Except...
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from argparse import ArgumentParser import os from app import app if __name__ == '__main__': if 'SECRET_KEY' not in os.environ: print('[WARN] SECRET KEY is not set in the environment variable.') parser = ArgumentParser('해당 Flask 어플리케이션이 동작하기 위해 필요한 설정 값들을 다루기 위한 Argument Parser입니다.') parser.add_...
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<gh_stars>0 # Refaça o DESAFIO 9, mostrando a tabuada de um número # que o usuário escolher, só que agora utilizando um laço for. num = int(input('Digite um valor: ')) for i in range(1,11): print(f'{num} X {i} = {num*i}')
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from django.contrib import messages from django.http import HttpResponse from django.shortcuts import redirect, render from django.utils.timezone import now from django.views.decorators.http import require_http_methods from api.utils import api_login_required, handle_api_errors from core.admin_menus import AdminMenuIt...
StarcoderdataPython
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<reponame>vektorelpython24proje/temelbilgiler class A: def __init__(self): self.a = "A" @staticmethod def pi(): return 22/7 obj1 = A() print(obj1.pi()) import time #import math def hesapZaman(fonk): def icFonk(*args, **kwargs): basla = time.time() fonk(*args, **kwargs...
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from typing import Dict, Tuple from unittest.mock import MagicMock from urllib.parse import urljoin import pytest import requests from pytest_mock.plugin import MockerFixture from kinto_http import AsyncClient, Client from kinto_http.constants import DEFAULT_AUTH, SERVER_URL, USER_AGENT from kinto_http.endpoints impo...
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<reponame>alexsocha/mipsplusplus from mipsplusplus import utils from mipsplusplus import operations OPERATOR_ORDERING = [ ['addressof', 'not', 'neg'], ['*', '/', '%'], ['+', '-'], ['<<', '>>', '<<<', '>>>'], ['<', '>', '<=', '>='], ['==', '!='], ['and', 'or', 'xor', 'nor'], ['as'] ] EXPR_OPERATORS = s...
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n = int(input('Digite o valor de n: ')) i = 1 número = 0 while i <= n: número = número + 1 if (número % 2 != 0): i = i + 1 print(número)
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<filename>tasks/__init__.py<gh_stars>1-10 """ Runnable tasks for this project. Project tooling for build, distribute, etc. Invoked with the Python `invoke` framework. Tasks should be invoked from the project root directory, not the `tasks` dir. Task code is for tooling only and should strictly not be mixed with `src`...
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<gh_stars>0 # -*- coding: utf-8 -*- # Generated by Django 1.11.9 on 2018-06-23 06:06 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('symposion_schedule', '0002_slot_name'), ] operations = [ migrations.Rem...
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from django.core.management.base import BaseCommand, CommandError from ...models import Run from django.contrib.contenttypes.models import ContentType from ...serializers import ContentTypeIdField from ...backends import immediate from rest_framework.exceptions import ValidationError from django.contrib.auth import get...
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<filename>euler/Q3/3.py #!/usr/bin/python from math import ceil, sqrt number = 600851475143 count=0 div=3 while (number&1)==0: count=count+1 number=number>>1 count=count+1 if number==1: count=count+1 number=2 root=ceil(sqrt(number)) count=count+1 while div<=root: count=count+1 if(numb...
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<reponame>chrooke/cash-flow-calculator #!/bin/env python import yaml from datetime import date, timedelta from dateutil.relativedelta import relativedelta from cash_flow.transaction import Transaction class TransactionStore(object): def __init__(self): self.store = [] def addTransactions(self, first_...
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MAX_RECIPIENTS_PER_MESSAGE = 5 MSG_BLOOM_FILTER_SIZE = 80
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<reponame>cswat/fantasy-language-speech-generator #imports import json import re from django import forms from django.core.exceptions import ValidationError class TranslateForm(forms.Form): #pull fantasy languages from json file and manage how they appear on the form - I commented out the references to fantasy la...
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import random def print_rect(alpha, height=1, width_mult=1): li = list(alpha) for i in range(height): line = "" for j in range(width_mult): random.shuffle(li) line += "".join(li) print(line) print_rect("IJKLMNOP", 8, 1)
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# Copyright 2016 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...
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from .config import YamlConfig from .registry import Registry, build_from_cfg, build_ray_obj_from_cfg __all__ = [ "Registry", "build_from_cfg", "build_ray_obj_from_cfg", "YamlConfig", ]
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# by <NAME> # Replace magic numbers with named constanst def calculation(charge1, charge2, distance): constant = 8.9875517923*1e9 return constant * charge1 * charge2 / (distance**2) # First Section # Given two point charges, calcualte the electric force exerted on them. q1 = int(input('Enter a valu...
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""" Named Params: >>> def a(abc): pass ... >>> a(abc=3) # <- this stuff (abc) """ def a(abc): pass #? 5 ['abc'] a(abc) def a(*some_args, **some_kwargs): pass #? 11 [] a(some_args) #? 13 [] a(some_kwargs)
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<filename>kaleidescope/kaleidescope.py<gh_stars>1000+ import argparse import requests import random from PIL import Image from io import BytesIO BLOCK_W = 8 BLOCK_H = 8 def extract_symbols(doc, file_key, headers): canvas = doc['document']['children'][0] symbols = [] guids = [] for node in canvas['chil...
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